Energy & Utilities Management Service 
Everest Group
JANUARY 6, 2023
Highly public cyber attacks on OT systems have raised awareness about the serious risks these security breaches can have on essential services, as seen in these industry-specific cases: Manufacturing – This segment had the second-highest ransomware-associated data extortion attacks in 2021. Operational technology systems cyber attacks.
IBM Services
APRIL 12, 2024
This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management.
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Automation Anywhere
MAY 18, 2021
The company started with the solution on-prem, but then shifted to an Amazon Web Services (AWS) cloud environment. an RPA Developer at a financial service firm with more than 10,000 employees explains, “We are using it for finance and logistics-related tasks in departments that we are automating. As Sameer P., As Brian D.,
IBM Services
JANUARY 25, 2024
Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Over time, inventory managers have tested different approaches to determine the best fit for their organizations. A 25% increase in service levels.
Capgemini
MARCH 26, 2023
Under the proposed rule changes, larger companies would be required to have their greenhouse gas emissions disclosures attested to by an independent service provider to increase the reliability of the disclosures for investors. Organizations lack master data management practices resulting in low data quality.
Perficient Digital Transformation
MARCH 13, 2023
Encouraging the use of renewable energy to charge EVs creates many opportunities and potential benefits. In addition, Austin Energy ran a program to incentivize weekend and nighttime charging at home to offset high demand during peak times. Managing the charging demand will be essential for extending the grid and satisfying EV owners.
Infosys Consulting
JANUARY 22, 2024
AI and machine learning applications in e-Mobility Optimizing EV charging schedules: AI leverages real-time data and dynamically adjusts charging schedules to capitalize on periods of reduced energy demand and lower costs. A pivotal challenge in e-Mobility is efficient energy utilization.
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